1 #ifndef CAFFE_REDUCTION_LAYER_HPP_
2 #define CAFFE_REDUCTION_LAYER_HPP_
6 #include "caffe/blob.hpp"
7 #include "caffe/layer.hpp"
8 #include "caffe/proto/caffe.pb.h"
19 template <
typename Dtype>
29 virtual inline const char*
type()
const {
return "Reduction"; }
39 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
41 const vector<bool>& propagate_down,
const vector<
Blob<Dtype>*>& bottom);
44 ReductionParameter_ReductionOp
op_;
59 #endif // CAFFE_REDUCTION_LAYER_HPP_
int dim_
the input size of each reduction
Definition: reduction_layer.hpp:52
virtual void Forward_gpu(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Using the GPU device, compute the layer output. Fall back to Forward_cpu() if unavailable.
int axis_
the index of the first input axis to reduce
Definition: reduction_layer.hpp:48
virtual void Forward_cpu(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Using the CPU device, compute the layer output.
Definition: reduction_layer.cpp:42
virtual int ExactNumBottomBlobs() const
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required.
Definition: reduction_layer.hpp:30
virtual void Reshape(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Adjust the shapes of top blobs and internal buffers to accommodate the shapes of the bottom blobs.
Definition: reduction_layer.cpp:15
ReductionParameter_ReductionOp op_
the reduction operation performed by the layer
Definition: reduction_layer.hpp:44
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers,...
Definition: blob.hpp:24
An interface for the units of computation which can be composed into a Net.
Definition: layer.hpp:33
virtual const char * type() const
Returns the layer type.
Definition: reduction_layer.hpp:29
virtual int ExactNumTopBlobs() const
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required.
Definition: reduction_layer.hpp:31
Compute "reductions" – operations that return a scalar output Blob for an input Blob of arbitrary siz...
Definition: reduction_layer.hpp:20
Blob< Dtype > sum_multiplier_
a helper Blob used for summation (op_ == SUM)
Definition: reduction_layer.hpp:54
Dtype coeff_
a scalar coefficient applied to all outputs
Definition: reduction_layer.hpp:46
virtual void Backward_gpu(const vector< Blob< Dtype > * > &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > * > &bottom)
Using the GPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...
virtual void LayerSetUp(const vector< Blob< Dtype > * > &bottom, const vector< Blob< Dtype > * > &top)
Does layer-specific setup: your layer should implement this function as well as Reshape.
Definition: reduction_layer.cpp:9
int num_
the number of reductions performed
Definition: reduction_layer.hpp:50
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14
virtual void Backward_cpu(const vector< Blob< Dtype > * > &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > * > &bottom)
Using the CPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...
Definition: reduction_layer.cpp:77